Senior Data Scientist - Actuarial & Predictive Analytics

Key Responsibilities

- Develop persistence, retention, and pricing models.
- Build elasticity estimation frameworks.
- Design customer and risk segmentation strategies.
- Develop forecasting and optimization models.
- Conduct hypothesis testing and statistical analyses.
- Collaborate with business stakeholders and underwriters to address business challenges.
- Present analytical findings and recommendations to client teams.
- Mentor and guide junior analysts and data scientists.

Mandatory Skills

Analytics & Data Science

- Advanced Python
- SQL
- Statistical Modeling
- Regression Techniques
- Ensemble Models (XGBoost, Random Forest)

Actuarial / Insurance

- Insurance pricing concepts
- Understanding of loss ratio metrics
- Policy renewal analytics
- Risk segmentation

Consulting & Business Skills

- Problem structuring and analytical thinking
- Stakeholder management
- Data storytelling and presentation skills

Valuable-to-Have Skills

- Health or Life Insurance domain expertise
- Optimization techniques
- Databricks
- Apache Spark
- MLOps

📌 Senior Data Scientist (Bengaluru)
🏢 TheMathCompany
📍 Bengaluru